Johnson & Johnson

Director, R&D Data Science and Digital Health – Immunology

Johnson & Johnson

full-time

Posted on:

Location Type: Hybrid

Location: San DiegoCaliforniaMassachusettsUnited States

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Salary

💰 $164,000 - $282,900 per year

Job Level

Tech Stack

About the role

  • Contribute to the design and execution of a Data Science & Digital Health (DSDH) Computer Vision and Digital Health (CVDH) strategy
  • Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development
  • Work closely with individual clinical project teams as well as functional area partners
  • Provide strategic input into the Immunology R&D DSDH CVDH priorities ranging from individual projects to large collaborations
  • Work closely with the broader Data Science and Digital Health (DSDH) team and Immunology Therapeutic Area (TA) / Function Data Science teams
  • Collaborate to conceive, develop, and execute on data science use-cases
  • Develop a deep understanding of the imaging and digital health data
  • Champion, build and drive large strategic and sophisticated DSDH projects to achieve impact in a timely manner
  • Perform detailed analyses, develop high quality materials, and communicate in critical executive forums

Requirements

  • MD, and/or PhD and/or Master’s degree in data science, computer science, bioinformatics, biomedical engineering or applied mathematics
  • experience in data science, bioinformatics, computer science
  • 6+ years of progressive professional experience in clinical/academic environment, pharmaceutical R&D, data science, computer vision, digital health
  • Consistent track record of collaboration and leading in a matrix organization
  • Familiarity with data science, computer vision, digital health space
  • Knowledge of Immunology
  • Knowledge of relevant healthcare datasets, such as EHR, or insurance claims
  • Advanced degree (e.g., MD, PhD, MBA or equivalent) preferred
  • Experience delivering data science projects using predictive technologies, data mining and/or text mining
  • Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images
  • Experience with data science tools and statistical programming languages, including SQL, Python, R, and others
  • Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in diagnostic medical imaging and digital health sensing data
  • Ability to travel 25%, domestic and global
Benefits
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Hard Skills & Tools
data sciencecomputer visionbioinformaticspredictive technologiesdata miningtext miningmachine learningartificial intelligencestatistical programmingdeep learning
Soft Skills
collaborationleadershipstrategic inputcommunicationproject management
Certifications
MDPhDMaster’s degree